FraudSim: Simulating fraud in a public delivery program

Yushim Kim, Ningchuan Xiao

Research output: Chapter in Book/Report/Conference proceedingChapter

9 Scopus citations

Abstract

This chapter shows that white-collar crime can be approached using an agent-based model. Fraud in public delivery programs often involves several entities that are loosely interrelated and interact dynamically. However, the crime literature has not paid sufficient attention to these characteristics, thus providing limited utility for public managers. This chapter frames a public delivery program as a complex system. The patterns of fraud in such a system are simulated using an agent-based model called FraudSim. We demonstrate that FraudSim closely replicates the statistical and spatial patterns of fraud and provides a framework for future work in this area.

Original languageEnglish (US)
Title of host publicationArtificial Crime Analysis Systems
Subtitle of host publicationUsing Computer Simulations and Geographic Information Systems
PublisherIGI Global
Pages319-337
Number of pages19
ISBN (Print)9781599045917
DOIs
StatePublished - Dec 1 2008

ASJC Scopus subject areas

  • Computer Science(all)

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